Python Faker for DuckDB Fake Data Generation

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There is a plethora of interesting public data out there. The DuckDB community regularly uses the NYC Taxi Data to demonstrate and test features as it’s a reasonably large set of data (billions of records) and it’s data the public understands.

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BlogsBuild sub-second data applications with MotherDuck’s Wasm SDKMotherduck BlogsThe Enterprise Case for DuckDB: 5 Key Categories and Why Use ItMotherduck BlogsHow to analyze SQLite databases in DuckDBMotherduck BlogsDuckDB 1.3 Lands in MotherDuck: Performance Boosts, Even Faster Parquet, and Smarter SQLMotherduck BlogsAI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB SQLMotherduck BlogsWhy REST and JDBC Are Killing Your Data StackMotherduck

EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange BlogsHeyGen Secures $60M Series A to Power AI Video Generation for Business GrowthHeygen Blogs30 Best AI Lead Generation Tools (2026, Ranked & Tested)Heygen BlogsAutomate Bulk Video Creation with Make.comHeygen ResourcesSecurity & Compliance MeasuresVercel ResourcesWorking with DrainsVercel BlogsWhat is MCP and how to get startedMintlify Blogs4 ways to automate Amazon S3Zapier BlogsWhat Is Natural Language Generation (NLG)?Zapier ResearchRewardBench 2: Advancing Reward Model EvaluationCohere ResearchDiversify and Conquer: Diversity-Centric Data Selection with Iterative RefinementCohere ResearchLLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable ObjectivesCohere ResearchSparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following ModelsCohere ResearchPrioritized Training on Points that are Learnable, Worth Learning, and Not Yet LearntCohere